Green supply chain management : product life cycle approach

Title:

Personal Author:

Wang, Hsiao-Fan.

Publication Information:

New York : McGraw Hill, 2011.

Physical Description:

xvii, 302 p. : ill. ; 24 cm.

ISBN:

9780071622837

Subject Term:

Green products.

Business logistics.

Added Author:

Gupta, Surendra M.

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A COMPLETE GUIDE TO IMPLEMENTING A GREEN SUPPLY CHAIN

This detailed resource provides a stage-by-stage production methodology within the life cycle of a product to ensure environmental compliance and economic goals. After covering basic concepts and background, Green Supply Chain Management: Product Life Cycle Approach discusses green engineering technologies, green value chain management, and green information management systems.

The book delivers the knowledge to quantify the environmental impact on supply chains and identify opportunities for making improvements, leading to both green engineering and green management of a product.

COVERAGE INCLUDES:

Mathematical background Green engineering Green materials Environmental design Green procurement--vendor selection with risk analysis Green production--manufacture and remanufacture in certain and uncertain environments Green logistics--recycling with certain and uncertain situations Green customers--features and identification End-of-life management--disassembly and reuse Database for life cycle assessment--procedure with database Web-based information support systems

Author Notes

Hsiao-Fan Wang holds a Ph.D. in Operations Research from Cambridge University. She was the Vice Dean of the College of Engineering, National Tsing Hua University. Dr. Wang's research interests are in multicriteria decision-making, fuzzy set theory, and green value chain management.

Surendra M. Gupta holds a Ph.D. in Industrial Engineering from Purdue University. He is currently Director of the Laboratory for Responsible Manufacturing at Northeastern University. Dr. Gupta is the author of The Disassembly Line: Balancing and Modeling.

Preface	p. xv
Acknowledgment	p. xvii
Part 1 Basic concepts and Background
1 Introduction	p. 3
1.1 Development of Green Supply Chain Management	p. 3
1.2 Evolution of GSCM from SCM	p. 4
1.3 Impact of GSCM on Industry	p. 6
1.3.1 Impact of GSCM on Industry Tactics	p. 7
1.3.2 Impact of the Green Supply Chain on Industrial Administration	p. 8
1.3.3 Intensification of Competition by GSCM	p. 10
1.4 Summary and Conclusion	p. 10
References	p. 12
2 Mathematical Background	p. 13
2.1 Fuzzy Numbers and Arithmetic	p. 13
2.2 Utility Theory	p. 15
2.3 The Analytic Hierarchy Process (AHP)	p. 17
2.3.1 Basic Concepts and Pairwise Comparison	p. 18
2.3.2 The Procedure	p. 23
2.3.3 An Example: Determining Consumer Preference	p. 24
2.4 Optimization Programming	p. 30
2.4.1 Multi-Objective Linear Program (MOLP)	p. 31
2.4.2 Illustrative Example	p. 32
References	p. 33
Part 2 Green Engineering Technology
3\|green Engineering p. 37
3.1 Introduction	p. 37
3.2 Green Design	p. 38
3.2.1 Design for X	p. 38
3.2.2 Life Cycle Analysis	p. 39
3.2.3 Material Selection	p. 39
3.3 Some Green Design Guidelines	p. 40
3.3.1 Modular Product Structure	p. 40
3.3.2 Design of Functional Units	p. 40
3.3.3 Material Selection	p. 41
3.3.4 Minimize Waste and Harmful Contaminating Materials	p. 41
3.3.5 Ease of Separation	p. 41
3.3.6 Steps for Designing Green Products	p. 41
3.4 Product Recovery at the End-of-Life	p. 43
3.5 The 12 Principles of Green Engineering	p. 45
3.5.1 Inherent Rather Than Circumstantial	p. 45
3.5.2 Prevention Instead of Treatment	p. 45
3.5.3 Design for Separation	p. 46
3.5.4 Maximize Efficiency	p. 46
3.5.5 Output-Pulled Versus Input-Pushed	p. 46
3.5.6 Conserve Complexity	p. 46
3.5.7 Durability Rather Than Immortality	p. 46
3.5.8 Meet Need, Minimize Excess	p. 46
3.5.9 Minimize Material Diversity	p. 46
3.5.10 Integrate Material and Energy Flows	p. 46
3.5.11 Design for Commercial "Afterlife"	p. 46
3.5.12 Renewable Rather Than Depleting	p. 46
References	p. 47
4 Green Materials	p. 51
4.1 Introduction	p. 51
4.2 WEEE and RoHS Directives	p. 51
4.3 Selection of Materials	p. 52
4.3.1 Metals	p. 52
4.3.2 Ceramics	p. 52
4.3.3 Polymer Thermoplastics	p. 53
4.3.4 Polymer Thermosets	p. 53
4.3.5 Elastomers	p. 53
4.3.6 Natural Organic Materials	p. 53
4.3.7 Composites	p. 54
4.4 Conclusions	p. 54
References	p. 54
5 Environmental Design	p. 55
5.1 Introduction	p. 55
5.2 Design for Disassembly Index	p. 56
5.2.1 Nomenclature	p. 57
5.2.2 The Cost-Benefit Function	p. 58
5.2.3 DfDI Calculation Procedure	p. 60
5.2.4 An Application of the Procedure	p. 60
5.2.5 The Optimization Model	p. 67
5.2.6 An Application of the Optimization Procedure	p. 69
5.3 Use of Sensor Embedded Products	p. 71
5.3.1 Sensor-Embedded Products (SEPs)	p. 71
5.3.2 Remote Monitoring Center (RMC)	p. 72
5.3.3 Disassembly Center	p. 73
5.3.4 Disassembly Center	p. 73
5.3.5 Recycling Center	p. 74
5.3.6 Remanufacturing Center	p. 74
5.3.7 Disposal Center	p. 74
5.3.8 Sensor Data Mining	p. 74
5.4 Benefit form SEP and Product Monitoring Framework	p. 74
References	p. 75
Part 3 Green Value Chain Management
6 Green Procurement: Vendor Selection with Risk Analysis	p. 79
6.1 Introduction	p. 79
6.2 Risk Analysis of Green Vendor Selection	p. 80
6.2.1 Criteria of Selection with Their Hierarchical Relations	p. 82
6.2.2 Weighting of the Criteria	p. 82
6.2.3 Measures of the Attributes	p. 83
6.3 Vendor Evaluation and Selection	p. 89
6.3.1 Risk Aggregation Method	p. 89
6.3.2 Ranking Method	p. 90
6.4 Sensitivity Analysis and Alliance Development	p. 91
6.4.1 Issues of Sensitivity Analysis	p. 91
6.4.2 Sensitivity Analysis on AHP	p. 92
6.5 Summary of the Selection Procedure	p. 92
6.6 Numerical Example	p. 93
6.6.1 Estimation of Risks and Ranking of Two Suppliers	p. 93
6.6.2 Sensitivity Analysis	p. 99
6.6.3 Conclusion of the Example	p. 101
6.7 Summary and Conclusion	p. 101
References	p. 102
Appendix Pairwise Matrices Given for AHP of the Numerical Example	p. 102
7 Green Production: Manufacture and Remanufacture in Certain and Uncertain Environments	p. 105
7.1 Introduction	p. 105
7.2 Current Development	p. 107
7.2.1 Elements of the Lot-Sizing Model	p. 107
7.2.2 Current Lot-Sizing Models	p. 108
7.2.3 Conclusion	p. 109
7.3 The Green Lot-Sizing Production Model	p. 111
7.3.1 Framework of the Periodic Closed-Loop Production System	p. 111
7.3.2 Modeling in a certain Environment	p. 111
7.3.3 Modeling in an Uncertain Environment	p. 115
7.4 Numerical Illustration	p. 120
7.5 Summary and Conclusion	p. 123
References	p. 124
8 Green Logistics Recycling with Certain and Uncertain Situation	p. 125
8.1 Introduction	p. 125
8.2 Deterministic Modeling of Closed-Loop Logistics	p. 127
8.2.1 The Deterministic Closed-Loop Logistics Model (DCLL)	p. 128
8.2.2 The Transformed Integer Linear Programming Model	p. 131
8.2.3 An Illustrative Example	p. 134
8.4 Conclusions	p. 164
References	p. 165
Appendix Comparison of the Expected Objective Value Between q 1 and q 2	p. 167
9 Green Customers: Features and Identification	p. 169
9.1 Introduction	p. 169
9.2 Features of the Green Consumer	p. 169
9.2.1 Demographic Characteristics	p. 170
9.2.2 Psychographic Characteristics	p. 171
9.3 Questionnaire Design	p. 172
9.4 Analytical Methods	p. 172
9.4.1 Sample Size Determination	p. 172
9.4.2 Data Analysis	p. 181
9.4.3 Cluster Analysis	p. 182
9.5 Target Consumer Identification: Numerical Illustration	p. 187
9.5.1 Sample Size Determination	p. 187
9.5.2 Quantification of the Survey Data	p. 189
9.5.3 Distributions of Sociodemographic Variables	p. 189
9.5.4 Factor Analysis	p. 189
9.5.5 Target Customer Identification	p. 190
9.5.6 Conclusion of the Numerical Example	p. 192
9.6 Summary and Conclusion	p. 194
References	p. 196
10 End-of-Life Management:Disassembly and Reuse	p. 197
10.1 Introduction	p. 197
10.2 Current Development	p. 198
10.2.1 Issues with a Closed-Loop Supply Chain	p. 198
10.2.2 Life-Cycle Effects on the Quantity and Quality of Returned Products	p. 199
10.2.3 EOL and End-of-Use Recovery selection	p. 201
10.3 Concept of Disassembly	p. 202
10.3.1 Design for Disassembly Representation	p. 204
10.3.2 Demand-Driven Disassembly Planning	p. 208
10.4 Disassembly to Demand (D2D): Modeling and Analysis	p. 208
10.4.1 Representation of Product Structure	p. 209
10.4.2 Disassembly Configurations for Modules	p. 210
10.4.3 Restrictions of Recovery Options	p. 211
10.4.4 Mathematical Model	p. 211
10.5 An Illustrative Example	p. 220
10.6 Conclusion and Future Research Direction	p. 221
References	p. 223
Part 4 Green Information Management Systems
11 Database for Life Cycle Assessment: Procedure with Database	p. 229
11.1 Introduction	p. 229
11.1.1 Applicable International Standards on Product Carbon FootPrint	p. 230
11.1.2 Available Software for LCA	p. 231
11.1.3 Inventory of Product Carbon Footprint	p. 235
11.1.4 Summary and Conclusion	p. 236
11.2 Procedure of LCA	p. 237
11.2.1 Setting the Inventory Target for the selected Product	p. 237
11.2.2 Setting the Borderline	p. 237
11.2.3 Identification of Emission Source	p. 238
11.3 Data Collection	p. 239
11.4 Quantification of Emission	p. 239
11.4.1 Methods of Quantification	p. 239
11.4.2 Selection of the Emission Coefficient	p. 241
11.4.3 Summary of Quantification Results	p. 241
11.4.4 Construction of Inventory Database	p. 241
11.5 Impartial Third-Party Verification	p. 241
11.5.1 General Requirements	p. 242
11.5.2 Monitoring Mechanism of Impartiality	p. 244
11.6 An Illustrative Example	p. 244
11.6.1 Setting the Borderline	p. 244
11.6.2 Identification of Emission Source	p. 245
11.6.3 Application Simulation	p. 245
11.6.4 Quantification of Emission from Storage and Transport	p. 248
11.6.5 Summary and Discussion	p. 250
11.7 Conclusion	p. 251
References	p. 251
Appendix Emission Factors and Coefficient Charts of Different Industries and Nations	p. 252
12 Web-Based Information Support Systems	p. 265
12.1 Introduction	p. 265
12.1.1 Infrastructure of Recommender Systems	p. 267
12.1.2 Recommendation Methods	p. 268
12.1.3 Roles and Their Goals in a Recommender System	p. 270
12.1.4 Summary and Discussion	p. 271
12.2 Operations in the Submodules of the System	p. 271
12.2.1 Offline Operations	p. 271
12.2.2 Online Operations	p. 276
12.2.3 Measures of Recommendation Performance	p. 279
12.2.4 Summary of Offline and Online Operation Procedures	p. 279
12.3 An Illustrative Case: Laptops RS of a 3C Retailer	p. 280
12.3.1 Experiments of Strategy Implementation	p. 280
12.3.2 Summary and Remarks of Experiments	p. 284
12.4 Conclusion	p. 288
References	p. 289
Index	p. 291

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